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Employment 0.8 - 1.0 FTE Gross monthly salary € 3,059 - € 3,881 Required background Research University Degree Organizational unit Faculty of Social Sciences Application deadline 15 September 2025
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social skills later. Insights from this project can provide knowledge for early interventions to foster learning in infancy, with potential to support later skill acquisition. This research is located
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Apply now Are you interested in helping to realise long-term sustainable futures and solve short-term challenges? Do you have a keen analytical eye as well as the social skills to connect people? Are you
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and neural networks for chemical property prediction. You will be part of the Big Chemistry consortium and will also be involved in training and teaching BSc and MSc students (10% of your working time
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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. In this project, you will study how this impacts the anaerobic removal of methane. You will use state-of-the-art techniques for sampling and analysis (e.g. benthic lander incubations, synchrotron-based
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will collaborate with researchers from various disciplines at iHub, Radboud’s interdisciplinary research hub on digitalisation and society. Lastly, you will also collaborate with other researchers from
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eager to work in a multidisciplinary setting with AI experts, social scientists, schools and commercial partners. You are interested in research in an applied setting, making sure the contributions
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impact on society by exploring practical applications and educating the future leaders in science and innovation. Faculty of Science The Faculty of Science (FNWI), part of Radboud University, engages in